Haoyu Xu

Lenovo (China)

Papers

1

Total Citations

7

H-Index

1

About

Haoyu Xu is a leading researcher in intelligent infrastructure monitoring, with a primary focus on building information modeling (BIM) and multimodal imaging for power systems. His most-cited work, "BIM-Based 3-D Multimodal Reconstruction for Substation Equipment Inspection Images" (2024), addresses a critical bottleneck in modern substation maintenance: the overwhelming volume of 2-D inspection images generated by drones and robots. Xu’s major contribution lies in developing a framework that fuses these disparate 2-D data streams into a coherent 3-D BIM model, enabling automated, high-fidelity reconstruction of substation equipment. This innovation directly reduces manual interpretation workload for substation staff while enhancing diagnostic accuracy. With 7 citations in under a year, his work is rapidly gaining traction among researchers and practitioners in smart grid and digital twin communities. Xu’s research bridges the gap between autonomous inspection hardware and actionable 3-D asset intelligence, positioning him as a key figure in the digital transformation of energy infrastructure.

Research Focus

Key Achievements

1
H-Index
1
Papers
7
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
BIM-Based 3-D Multimodal Reconstruction for Substation Equipment Inspection Images
7 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Lenovo (China)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago